Track accepted paper

CiteScore: 2.01ℹ
CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. 2015) to documents published in three previous calendar years (e.g. 2012 – 14), divided by the number of documents in these three previous years (e.g. 2012 – 14).

Impact Factor: 1.696ℹImpact Factor:2017: 1.696The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
2017 Journal Citation Reports (Clarivate Analytics, 2018)

5-Year Impact Factor: 1.844ℹFive-Year Impact Factor:2017: 1.844To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years.
2017 Journal Citation Reports (Clarivate Analytics, 2018)

Source Normalized Impact per Paper (SNIP): 1.295ℹSource Normalized Impact per Paper (SNIP):2017: 1.295SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

SCImago Journal Rank (SJR): 0.966ℹSCImago Journal Rank (SJR):2017: 0.966SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.

Author StatsℹAuthor Stats:Publishing your article with us has many benefits, such as having access to a personal dashboard: citation and usage data on your publications in one place. This free service is available to anyone who has published and whose publication is in Scopus.

Editorial Note – From the New Editors

Economic Modelling – a journal which came into being in 1984 – fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal's prime objective is to provide an international review of the state-of-the-art in economic modelling.

Economic Modelling has so far published the complete versions of many large-scale macroeconometric models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible. At the same time, when the traditional modeling methodology came under severe criticism, following the Lucas critique in the late 1970s, macroeconomic models were then developed employing the contemporary time series literature – the current acceptable form of structural macro modeling in an error-correction framework replacing the traditional style of modeling due to their model mis-specification and problem of spurious correlation. We will therefore publish models which are built using the contemporary literature, including the latest DSGE-type models.

The main subject areas covered include: national macroeconomic models (for both advanced and less developed countries), growth models, optimization models, models of international trade, interaction of national and regional economies, general equilibrium modelling of national or multi-country systems, modelling policy reforms (stabilization or structural adjustments), comparative model simulations of alternative macroeconomics policies.

In addition, over the last decade, Economic Modelling, influenced in large part by the development of financial and capital markets has published a large volume of influential papers on financial modelling – a branch of Economic Modelling. Papers on financial modelling have also addressed issues, many of which have been a result of the recent global financial crisis, relating to energy and commodity markets, stock and capital market performance, exchange rate dynamics, and applications of financial econometric techniques in testing economic hypotheses and models, including forecasting and investor decision making. These are important topics and Economic Modelling will continue to publish the best papers on these issues.

The overall popularity of Economic Modelling has grown impressively. From a modest social science citation impact (SSCI) factor of 0.42 in 2006, the journal now enjoys an impact factor of around 0.74, which puts Economic Modelling ahead of many of the applied economics competitor journals. Overall submissions to the journal have grown to over 1,000 submissions in 2014 generating over 1,200 citations. Indeed, that the Australian Business Dean’s Council (ABDC) puts Economic Modelling as an A-ranked journal is a clear indication of respect for the high quality of the journal. For this continued reputation of this journal, we (new editors and the publishing team) wish to thank the outgoing editors, Professor Stephen Hall and Professor Peter Pauly, for their great service to the journal and its growth over the years since 1998.

As new Co-Editors-in-Chief, our goal is to build on the reputation of the journal and improve its SSCI impact factor. In this regard, we welcome papers that cover topics in Economic and Financial Modelling. Moreover, we welcome proposals for special issues that make new contributions to the work previously published in Economic Modelling.

We are also committed to making speedy editorial decisions. Desk rejections, quality referee reports, first editorial decision within six to eight weeks’ time, and second (and final) editorial decisions within four weeks’ of receiving revised papers are all part of our vision for taking the journal forward. Referees, particularly those who publish in Economic Modelling, and authors, are an asset and are a part of the Economic Modelling family. You have supported the journal in its success to-date. We acknowledge and appreciate this contribution. We look forward to your service of excellence and are committed to working closely with you. The journal will depend on your expert referee reports and trust your advice. We together have the responsibility of expanding upon the space already created by Economic Modelling. What we do, how we do, and the speed at which we do our assignments will determine our success story. We have a rare opportunity to be part of this success story.